![]() Multivariate analysis including correlation matrix, covariance matrix, scatter plot matrix, and Principal Components Analysis (PCA) & Factor Analysis (FA) to reduce dimensionality.įit simple and advanced multiple linear, logistic, probit & weighted regression models, ANOVA & ANCOVA models, with extensive fit diagnostics, leverage plots, interaction plots, outlier and influence plot, multiple comparisons, and the ability to predict future observations.Ĭonduct all your statistical analysis without leaving Microsoft Excel. Multivariate/Correlation, PCA and Factor analysis. ![]() Explore the distribution of a sample with descriptive statistics, histogram, box-whisker plots, then test hypotheses, test normality.Ĭompare samples with box-plots, test location/dispersion with tests like t-test, ANOVA, then examine differences with multiple comparisons like Hsu, Steel, Steel-Dwass-Critchlow-Fligne, Student-Newman-Keuls (SNK), Duncan's and more.
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